roytravel/paper-implementation

pytorch Implementation of deep learning models

About

Implementation of AI related papers. It address natural language processing, computer vision, generative adversarial network, speech recognition/synthesis.

Implementation

Natural Language Processing

• Word2Vec (2013, Efficient Estimation of Word Representations in Vector Space: paper)
• Transformer (2017, Attention Is All You Need: paper)

Computer Vision

• AlexNet (2012, ImageNet Classification with Deep Convolutional Neural Networks: paper)
• VGGNet (2015, Very Deep Convolutional Networks For Large-Scale Image Recognition: paper)
• GoogleNet (2015, Going Deeper with convolutions: paper)
• ResNet (2016, Deep Residual Learning for Image Recognition: paper)

Generative Adversarial Network

• GAN (2014, Genrative Adversarial Nets: paper)
• DCGAN (2015, Unsupervised Representation Learning With Deep Convolutional Generative Adversarial Networks paper)

Speech Recognition

• Conformer (2020, Conformer: Convolution-augmented Transformer for Speech Recognition: paper)